[PDF] Top 20 Developing a Neural Machine Translation system for Irish

... the translation direction: for EN→GA a small decrease in performance was observed on both test sets, while for GA→EN an increase of almost 4 BLEU was observed on the generic test ... See full document

... for developing neural machine translation systems, known as OpenNMT ...The system is designed to be simple to use and easy to extend, while maintaining efficiency and state-of-the-art ... See full document

... Neural machine translation (NMT) is a new ap- proach to machine translation that has shown promising results compared to the existing ap- proaches such as phrase-based statistical ... See full document

... a translation memory to translate known sentences and phrase, while still allowing a more flexible Machine Translation (MT) model to translate less- familiar phrases and sentences without sacrific- ... See full document

... Similarly to the Estonian NMT systems, the Bulgarian EU Council Presidency NMT systems were also trained on a mixture of publicly available and proprietary corpora. The largest corpora among the publicly available ... See full document

... offers translation services to other Commission Directorates-General, who send translation requests to a central DGT service that pre-processes texts automatically using various ... See full document

... NMT system. The PreMT system performs similar and the PBMT system performs clearly ...NMT system and therefore, finally it even achieves a better ... See full document

... this system, the language model is trained using weakly supervised learning on small annotated corpus to seed unsupervised learning using much larger, un-annotated ... See full document

... As can be seen from Table 7, for the English↔X directions, all three models show comparable scores. On the Ru↔{Be, Uk} directions, the “Zero-Shot” model already achieves relatively high BLEU scores for all directions ... See full document

... statistical machine translation, where it has been used for semi-supervised learning (Bojar and Tam- chyna, 2011), or self-training (Goutte et ...their system de- scription iteratively applying ... See full document

... the translation industry. Nowadays, translation companies must be more competitive than ever and meet fast commercial ...time. Machine translation (MT) can help them to achieve this goal: ... See full document

... Chinese-English Translation Table 1 summarizes the BLEU scores of different systems on the Chinese-English translation ...improves translation quality in terms of BLEU on most cases, and ob- tains ... See full document

... of neural networks follows two main strategies: (i) model parallel evalu- ates different model layers on different work- ers (Coates et ...ral machine translation systems have been recently trained ... See full document

... the system to pay much attention on them can adjust it towards “mastering” more information for these ...NMT system with 80% of the most complex ...the system per- forms better in terms of accuracy ... See full document

... For Myanmar syllable-based neural machine translation model, "sylbreak" is used to segment the Myanmar sentence into syllable level. Syllable segmentation is an important preprocess for many ... See full document

... of machine translation is greatly improved by applying neural networks par- tially in a Statistical Machine Translation (SMT) pipeline (Zou et ...end-to-end neural network based ... See full document

... shared task (Bojar et al., 2019). We par- ticipate in Gujarati-English language pair and submit two systems: English → Gujarati and Gujarati → English. Gujarati language belongs to Indo-Aryan language family and is ... See full document

... Neural machine translation has significantly im- proved the quality of machine translation in re- cent several years (Kalchbrenner and Blunsom, 2013; Sutskever et ...statistical ... See full document

... We were also interested in the combination of SMT and NMT using the pre-translation approach proposed by Niehues et al. (2016). In their model, SMT-based translations of the source text are sim- ply concatenated ... See full document

... or Irish sentences that are to be translated into the target ...current translation performance of IRIS in terms of the evaluation metric ...the translation models accessed by IRIS. Finally, the ... See full document